Wan Tang
- Health top 2%
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 18
- Statistical Methods and Inference 14
- Advanced Causal Inference Techniques 9
- Statistical Methods in Clinical Trials 7
- Clinical Psychology top 5%
- Obstetrics and Gynecology top 5%
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- Urinary Tract Infections Management 6
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- Urinary Bladder and Prostate Research 6
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- Pelvic floor disorders treatments 5
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- Bayesian Methods and Mixture Models 5
- Co-authors
- Xin TuHua HeThomas G. O’ConnorEmma Robertson BlackmoreNancy L. TalbotYeates ConwellJeffrey M. LynessChangyong Feng
- Journals
- Statistical Methods in Medical Research (5 papers)Statistics in Medicine (4 papers)Journal of Statistical Planning and Inference (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Wan Tang
84 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 178
- Neuropsychology and Physiological Psychology 57
- Health 294
- Statistics and Probability 195
- Clinical Psychology 455
- Obstetrics and Gynecology 147
Countries citing papers authored by Wan Tang
This map shows the geographic impact of Wan Tang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wan Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan Tang more than expected).
Fields of papers citing papers by Wan Tang
This network shows the impact of papers produced by Wan Tang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wan Tang. The network helps show where Wan Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wan Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 13 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 0 | |
| 8 | 2016 | 9 | |
| 9 | The optimization scheme of Mongolian gerbils superovulation induced by PMSG and hCG | 2015 | 1 |
| 10 | 2014 | 12 | |
| 11 | Long-term indwelling urinary catheter problems | 2012 | 1 |
| 12 | 2011 | 24 | |
| 13 | 2011 | 7 | |
| 14 | 2011 | 23 | |
| 15 | 2010 | 35 | |
| 16 | 2010 | 18 | |
| 17 | 2008 | 24 | |
| 18 | 2008 | 13 | |
| 19 | 2007 | 8 | |
| 20 | 2006 | 101 |
About Wan Tang
Wan Tang is a scholar working on Statistics and Probability, Neuropsychology and Physiological Psychology, Urology, Health and Statistics, Probability and Uncertainty, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (18 papers), Statistical Methods and Inference (14 papers), Advanced Causal Inference Techniques (9 papers), Statistical Methods in Clinical Trials (7 papers), Urinary Tract Infections Management (6 papers), Urinary Bladder and Prostate Research (6 papers), Pelvic floor disorders treatments (5 papers) and Bayesian Methods and Mixture Models (5 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (57 citations), Health (294 citations), Statistics and Probability (195 citations), Clinical Psychology (455 citations) and Obstetrics and Gynecology (147 citations). Wan Tang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Xin Tu, Hua He, Thomas G. O’Connor, Emma Robertson Blackmore, Nancy L. Talbot, Yeates Conwell, Jeffrey M. Lyness, Changyong Feng, Linda H. Chaudron and Catherine Cerulli. Their work appears in journals such as Statistical Methods in Medical Research, Statistics in Medicine, Journal of Statistical Planning and Inference, American Journal of Geriatric Psychiatry and Nursing Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.